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SMF-POLOPT: an adaptive multitemporal pol(DIn)SAR filtering and phase optimization algorithm for PSI applications

Author
Zhao, F.; Mallorqui, J.J.
Type of activity
Journal article
Journal
IEEE transactions on geoscience and remote sensing
Date of publication
2019-09-01
Volume
57
Number
9
First page
7135
Last page
7147
DOI
10.1109/TGRS.2019.2911670
Project funding
Sensors for Multi-Scale Applications in Remote Sensing
Unitat d'Excel·lència/'María de Maeztu/': Grup de recerca en Teledetecció, Antenes, Microones i Superconductivitat
Repository
http://hdl.handle.net/2117/171873 Open in new window
URL
https://ieeexplore.ieee.org/document/8709996 Open in new window
Abstract
Speckle noise and decorrelation can hamper the application and interpretation of PolSAR images. In this paper, a new adaptive multitemporal Pol(DIn)SAR filtering and phase optimization algorithm is proposed to address these limitations. This algorithm first categorizes and adaptively filters permanent scatterer (PS) and distributed scatterer (DS) pixels according to their polarimetric scattering mechanisms [i.e., the scattering-mechanism-based filtering (SMF)]. Then, two different polarimetric D...
Citation
Zhao, F.; Mallorqui, J.J. SMF-POLOPT: an adaptive multitemporal pol(DIn)SAR filtering and phase optimization algorithm for PSI applications. "IEEE transactions on geoscience and remote sensing", 1 Setembre 2019, vol. 57, núm. 9, p. 7135-7147.
Keywords
Ground deformation, Interferometric phase optimization, Persistent scatterer interferometry (PSI), Pixel density, Polarimetry, Speckle filtering
Group of research
CommSensLab-UPC - Centre Específic de Recerca en Comunicació i Detecció UPC
RSLAB - Remote Sensing Lab

Participants

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